Jong Chul Ye

Jong Chul Ye

KAIST

H-index: 71

Asia-South Korea

About Jong Chul Ye

Jong Chul Ye, With an exceptional h-index of 71 and a recent h-index of 57 (since 2020), a distinguished researcher at KAIST, specializes in the field of machine learning, computational imaging, medical imaging, signal processing, compressed sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing

Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing

C-darl: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation

Energy-based cross attention for bayesian context update in text-to-image diffusion models

Generalized Consistency Trajectory Models for Image Manipulation

Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements

Direct diffusion bridge using data consistency for inverse problems

DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing

Jong Chul Ye Information

University

Position

Professor and Endowed Chair

Citations(all)

22239

Citations(since 2020)

16055

Cited By

11328

hIndex(all)

71

hIndex(since 2020)

57

i10Index(all)

217

i10Index(since 2020)

163

Email

University Profile Page

KAIST

Google Scholar

View Google Scholar Profile

Jong Chul Ye Skills & Research Interests

machine learning

computational imaging

medical imaging

signal processing

compressed sensing

Top articles of Jong Chul Ye

Title

Journal

Author(s)

Publication Date

Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing

arXiv preprint arXiv:2402.08601

Yunji Jung

Seokju Lee

Tair Djanibekov

Hyunjung Shim

Jongchul Ye

2024/2/13

Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing

arXiv preprint arXiv:2403.13551

Hangeol Chang

Jinho Chang

Jong Chul Ye

2024/3/20

C-darl: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation

Medical Image Analysis

Boah Kim

Yujin Oh

Bradford J Wood

Ronald M Summers

Jong Chul Ye

2024/1/1

Energy-based cross attention for bayesian context update in text-to-image diffusion models

Advances in Neural Information Processing Systems

Geon Yeong Park

Jeongsol Kim

Beomsu Kim

Sang Wan Lee

Jong Chul Ye

2024/2/13

Generalized Consistency Trajectory Models for Image Manipulation

arXiv preprint arXiv:2403.12510

Beomsu Kim

Jaemin Kim

Jeongsol Kim

Jong Chul Ye

2024/3/19

Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements

arXiv preprint arXiv:2306.04339

Gyutaek Oh

Won-Jin Moon

Jong Chul Ye

2023/6/7

Direct diffusion bridge using data consistency for inverse problems

Advances in Neural Information Processing Systems

Hyungjin Chung

Jeongsol Kim

Jong Chul Ye

2024/2/13

DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing

arXiv preprint arXiv:2403.12002

Hyeonho Jeong

Jinho Chang

Geon Yeong Park

Jong Chul Ye

2024/3/18

Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models

arXiv preprint arXiv:2404.03913

Gihyun Kwon

Simon Jenni

Dingzeyu Li

Joon-Young Lee

Jong Chul Ye

...

2024/4/5

Defining Neural Network Architecture through Polytope Structures of Dataset

arXiv preprint arXiv:2402.02407

Sangmin Lee

Abbas Mammadov

Jong Chul Ye

2024/2/4

Bidirectional generation of structure and properties through a single molecular foundation model

Nature Communications

Jinho Chang

Jong Chul Ye

2024/3/14

Patch-Wise Graph Contrastive Learning for Image Translation

Proceedings of the AAAI Conference on Artificial Intelligence

Chanyong Jung

Gihyun Kwon

Jong Chul Ye

2024/3/24

Medical image synthesis and reconstruction using generative adversarial networks

Gyutaek Oh

Jong Chul Ye

2024/1/1

UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation

arXiv preprint arXiv:2403.06275

Kwanyoung Kim

Jaa-Yeon Lee

Jong Chul Ye

2024/3/10

OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation

arXiv preprint arXiv:2403.14183

Kwanyoung Kim

Yujin Oh

Jong Chul Ye

2024/3/21

Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology

Medical Image Analysis

Sangjoon Park

Eun Sun Lee

Kyung Sook Shin

Jeong Eun Lee

Jong Chul Ye

2024/1/1

Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data

Nature Machine Intelligence

Chanseok Lee

Gookho Song

Hyeonggeon Kim

Jong Chul Ye

Mooseok Jang

2023/1

Breast Ultrasound Report Generation using LangChain

arXiv preprint arXiv:2312.03013

Jaeyoung Huh

Hyun Jeong Park

Jong Chul Ye

2023/12/5

LLM-driven Multimodal Target Volume Contouring in Radiation Oncology

arXiv preprint arXiv:2311.01908

Yujin Oh

Sangjoon Park

Hwa Kyung Byun

Jin Sung Kim

Jong Chul Ye

2023/11/3

Single-round Self-supervised Distributed Learning using Vision Transformer

arXiv preprint arXiv:2301.02064

Sangjoon Park

Ik-Jae Lee

Jun Won Kim

Jong Chul Ye

2023/1/5

See List of Professors in Jong Chul Ye University(KAIST)

Co-Authors

H-index: 36
Kevin Webb

Kevin Webb

Purdue University

H-index: 32
Rick Millane

Rick Millane

University of Canterbury

H-index: 25
Kyungsang Kim

Kyungsang Kim

Harvard University

H-index: 18
Jaejun Yoo

Jaejun Yoo

École Polytechnique Fédérale de Lausanne

H-index: 16
Sangjoon Park

Sangjoon Park

KAIST

H-index: 15
Hyungjin Chung

Hyungjin Chung

KAIST

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